Position Summary:
We’re hiring for one of the world's leading steel and mining company, exerting our influence across 60+ countries with a robust industrial footprint in 18. We are a global team of 158,00+ talented individuals committed to building a better world with smarter low-carbon steel. Our strategies are not just about scale; they're also about leading a transformative change where innovation meets sustainability. With a presence in over 150 countries, this organisation provides services across consulting, audit, tax, risk advisory, and financial advisory — helping Fortune 500 companies and governments navigate complex challenges.
IT - Lead Architect/Associate Principle – Azure Lake - D&IT DATA
This profile will lead a team of architects and engineers to focus on Strategic Azure architecture and AI projects.
Job Responsibility:
- Strategic Data Architecture and Roadmap:
- Develop and maintain the company’s data architecture strategy aligned with business objectives.
- Lead design and/or architecture validation reviews with all stakeholders, assess projects against architectural principles and target solutions, organize and lead architecture committees.
- Select new solutions that meet business needs, aligned with existing recommendations and solutions, and broadly with IS strategy.
- Model the company’s information systems and business processes.
- Define a clear roadmap to modernize and optimize data management practices and technologies.
- Emerging Technologies and Innovation:
- Drive the adoption of new technologies (AL/ML) and assess their impact on the organization’s data strategy.
- Conduct technological watch in both company activity domains and IT technologies, promoting innovative solutions adapted to the company.
- Define principles, standards, and tools for system modeling and process management.
- Platform Design and Implementation:
- Architect scalable data flows, storage solutions, and analytics platforms in cloud and hybrid environments.
- Ensure secure, high-performing, and cost-effective data solutions.
- Data Governance and Quality:
- Establish data governance frameworks ensuring data accuracy, availability, and security.
- Promote and enforce best practices for data quality management.
- Ensure compliance with enterprise architecture standards and principles.
- Technical Leadership:
- Act as a technical advisor on complex data-related projects and proof of concepts.
- Stakeholder Collaboration:
- Collaborate with business stakeholders to understand data needs and translate them into architectural solutions.
- Work with relevant stakeholders in defining project scope, planning development, and validating milestones throughout project execution.
- Exposure to a wide range of technologies related to Datalakes
- SQL, SYNAPSE, Databricks, PowerBI, Fabric, Python
- Tools: Visual Studio & TFS, GIT.
- Database: SQL Server. NoSQL
- Methodologies: Agile (SCRUM).
- SAP BW / SAC
Requirements
Required Skill:
- Expert in Azure, Databricks and Synapse
- Proven experience leading technical teams and strategic projects.
- Deep knowledge of cloud data platforms (Microsoft Azure, Fabric, Databricks, or AWS).
- Proven experience in designing and implementing AI solutions within data architectures.
- Understanding of SAP-based technologies (SAP BW, SAP DataSphere, HANA, S/4, ECC).
- Experience with analytics, visualization, reporting, and self-service tools (Power BI, Tableau, SAP Analytics Cloud).
- Expert understanding of data modeling, ETL/ELT technologies, and big data.
- Experience with relational and NoSQL databases.
- Deep knowledge of data security and compliance best practices
- Strong experience in Solution Architecture.
- Proven ability to lead AI/ML projects from conception to deployment.
- Familiarity with data mesh and data fabric architectural approaches.
Qualification and Experience:
- Experience – 10-12 years
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Experience in data architecture, with at least 5 years in a leadership role.
- Experience with AI/ML projects.
- Certifications in data architecture or cloud technologies, project management.
- 5-year experience in AI model design & deployment
- Excellent communication and presentation skills for both technical and non-technical audiences.
- Strong problem-solving skills, stakeholder management, and the ability to navigate complexity.
Benefits
- Safety: We prioritize a proactive safety-first culture where every employee is empowered to identify and address risks, ensuring a safe working environment for all.
- Sustainability: We aim for long-term profitability by adapting to evolving social and environmental trends, investing in a circular and decarbonized future for steel, and contributing to a better world.
- Quality: We strive for excellence in products, processes, and performance through innovation, operational expertise, and a commitment to exceeding customer expectations.
- Leadership: We maintain a leading position through visionary thinking, a willingness to challenge conventions, and a drive to redefine steel for a new generation through innovation and strategic partnerships.